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Researchwrite

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Yuan1z0825
researchwrite

Compose, revise, or audit research proposals, opening reports, and research plans from supporting evidence. Use for 研究计划、开题报告、科研项目申请书. Invoked as researchwrite for compatibility; use nature-writing for general manuscript sections.

Overview

PublisherYuan1z0825
Repositorynature-skills
Skill nameresearchwrite
Stars
42.8K
Forks
2.3K
Bundled files
32
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 32 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Yuan1z0825 on GitHub. Read the source before you install it.

Installation

Install the Researchwrite AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Yuan1z0825/nature-skills.git /tmp/nature-skills
mkdir -p .claude/skills
cp -r /tmp/nature-skills/skills/nature-proposal-writer .claude/skills/researchwrite
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Researchwrite in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Researchwrite on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Researchwrite is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

researchwrite — proposal-first 科研写作 pipeline

受 autonovel(状态机+打分)、professor(动态专家)、brainstorming(入口追问)、anti-AI-writing(语言清理)启发的科研写作状态机。不是通用"帮我写论文"prompt。

researchwrite 是为兼容既有安装保留的触发名称,仓库目录名仍为 nature-proposal-writer。不要在没有迁移方案时修改 frontmatter 名称。需要初始化模板、 按条件加载参考资料或执行导出脚本时,先读取 manifest.yaml,只加载与当前条件匹配的路径。

核心原则

  1. 证据先于文字 — 起草前必须建立或读取 research_canonevidence_table
  2. 论证先于章节 — 写正文前必须完成 argument_map
  3. 契约先于段落 — 每节需要 purpose / allowed claims / forbidden claims / inputs / validation
  4. 范围先于完备 — 如果是分阶段写作,先锁定阶段边界
  5. 动态专家,不设固定池 — 用 professor 按失败模式召唤对应专家
  6. 内容先于语言 — 诊断科学逻辑后再做 anti-slop / 语言打磨
  7. 不自动升级事实 — 永远不把 "may indicate" 改成 "proves",除非有证据支撑
  8. 删除胜于解释 — 当某主张不可行,直接删除。正文干净,解释留给答辩
  9. 该停就停 — 平台期、专家冲突、证据缺失是停止理由,不是润色理由

模式分派

输入模式
题目、方向、模糊想法compose — 加载 references/compose-mode.md
已有段落/章节/完整 proposalrevise — 加载 references/revise-mode.md
已有草稿 + 扩写/补写/重构hybrid — 加载 references/hybrid-mode.md

模糊时推断默认模式。只在选择会改变工作流时才问用户。

项目结构

工作目录<outputs>/researchwrite/<project-slug>/

标准文件

00_scope.md              写作任务边界
01_research_canon.md     硬事实和约束
02_evidence_table.md      claim → evidence 映射表
03_argument_map.md        论证架构
04_section_contracts.md   每节的 purpose / inputs / allowed & forbidden claims
05_style_guide.md         风格、术语、禁用表达
state.json                项目状态(mode、round、scores、technical_debts)
sources/                  用户材料、文献、数据
drafts/                   草稿和分节文件
revision_briefs/          修订简报
qa_logs/                  诊断、专家审查、anti-slop、打分记录
exports/                  最终输出(.md + .docx)

新建项目时按 manifest.yamltemplates.on_demand 路由从 templates/ 取空模板。 references/worked-example-quaternary-proposal.md 提供了基于通用材料科学领域的完整填写示例。

Reference 文件索引

完整 reference 按任务需要加载,不要一次性注入全部文件:

Reference加载时机
references/compose-mode.md模式 = compose(9 步流程)
references/revise-mode.md模式 = revise(9 步流程)
references/hybrid-mode.md模式 = hybrid
references/evaluation-rubric.md使用 8 维 × 4 锚点评分体系时
references/research-anti-slop.md清理中文 proposal 的模板化和空泛表达时
references/chinese-review-writing-style.md撰写或修订中文综述时
references/stopping-rules.md判断继续迭代、拆分范围或停止时
references/professor-dispatch.md按失败模式分派动态专家时
references/foundation-files.md建立或修复 foundation 五文件时
references/project-structure.md初始化项目目录或维护 state.json
references/export-archive.md导出和归档 .md / .docx
references/partial-proposal-scope.md分阶段写作并防止范围蔓延时
references/ref-renumbering-cascade.md处理参考文献增删和编号级联时
references/review-paper-framework.md设计综述论文框架时
references/review-critique-methodology.md建立综述的批判性分析时
references/validation-checklist.md自动检查主张、引用、编号和可复现性时
references/gpt-handoff-revision-brief.md生成跨 agent 修订交接简报时
references/within-approved-proposal.md在已批准的 proposal 框架内扩写时
references/worked-example-quaternary-proposal.md需要查看完整 foundation 文件填写示例时
references/降承诺提案模式.md证据不足,需要降低承诺强度时

运行交付

每次运行结束时输出:

  1. 当前文件路径或修订后文本
  2. 当前分数/状态
  3. 剩余风险
  4. 一条建议的下一步

QA Mode — 四层质量保障 Pipeline

当用户说"审查这段/跑 QA/检查方案/过 pipeline"时,进入 QA 模式。

情境挡位

挡位适用场景阈值
paper投稿论文7.0
proposal研究方案/开题7.0
internal内部汇报/周报5.0
quick快速扫读

Pipeline 顺序(先内容后语言)

Gate 2: professor Convener(内容层)
  ├── 论文 → 方法论专家 + 领域专家
  ├── proposal → 可行性专家 + 创新性专家
  └── 文献综述 → 覆盖面专家 + 批判深度专家
Gate 1: avoid-ai-writing 模式 detect-only
  └── 只对英文有效,中文跳过或降级为手工扫读
Gate 3: auto-validation(格式/完整性层)
  └── 每个 claim 有 citation?方法可复现?编号连续?
Gate 4: 评分阈值(分维度打分)
  ├── 总分≥阈值 → 通过 ✅
  └── 总分<阈值 → 按低分维度定向回退(不超过 3 轮)

Gate 2 在 Gate 1 之前 — 避免改了句子后被专家打回重写。

使用方法

用户: "用 researchwrite 审查这段 discussion,paper 挡位"
  → 自动走 Gate 2 → Gate 1 → Gate 3 → Gate 4
  → 返回审查报告 + 定向修改建议

用户: "快速扫一下这个邮件"
  → 走 quick 挡位,只标记 P0 问题

配置你的研究域

首次使用告诉 agent 你的研究背景,agent 会调用 professor 建立领域专家知识。后续写作中专家审查会基于你的领域。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Researchwrite AI skill do?

Compose, revise, or audit research proposals, opening reports, and research plans from supporting evidence. Use for 研究计划、开题报告、科研项目申请书. Invoked as researchwrite for compatibility; use nature-writing for general manuscript sections.

Why use Researchwrite on TypingMind?

Because you install it once and use it with any model. Researchwrite is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Researchwrite in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-proposal-writer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Researchwrite?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Researchwrite?

As many as you like. As long as a model supports skills, you can use Researchwrite with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Researchwrite AI skill free?

Yes. It is published on GitHub by Yuan1z0825 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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